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2,336 papers
Space weather forecasting requires models that are accurate, interpretable, and actionable. This project delivers a set of modular cyberinfrastructure, including models, datasets, and software, for trustworthy solar transient prediction by integrating novel local and global explanations and uncertainty quantification t...
This research presents an AI-based approach for detecting dark patterns in digital interfaces. The proposed framework analyzes textual, visual, and structural elements of websites and applications to identify potentially manipulative design practices. It uses multimodal analysis and explainable AI to provide understand...
While online psychological research relies heavily on paid crowdsourcing platforms (e.g., Prolific, MTurk), existing platform evaluations focus almost exclusively on surface-level task engagement (attention checks, completion time) rather than psychological validity. This paper introduces the distinction between "dolla...
T11 of the Transport Papers. Version 1.0. 24 pages. Epistemic status: Tier B. Mass enters a conformally invariant theory where scale does: as coupling to the frozen point, the parallel scale tractor of squared norm Λ/3. We prove the mass-weight dictionary: a density of conformal weight w coupled to the frozen point thr...
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This study examines the effects of AI transparency and privacy control on purchase intention through consumer trust in omnichannel retail. Methods: An explanatory quantitative design was applied to survey data from 100 omnichannel consumers in Yogyakarta City selected through purposive sampling. The reflective measurem...
T11 of the Transport Papers. Version 1.0. 24 pages. Epistemic status: Tier B. Mass enters a conformally invariant theory where scale does: as coupling to the frozen point, the parallel scale tractor of squared norm Λ/3. We prove the mass-weight dictionary: a density of conformal weight w coupled to the frozen point thr...
This study investigated the effect of Artificial Intelligence (AI) tools on the academic performance of Senior Secondary School students in Economics in selected schools within Kaduna Metropolis, Kaduna State, Nigeria. Adopting a descriptive correlational survey design, data were collected from five hundred (500) Senio...
This article examines Continuous Governance, Risk, and Compliance (Continuous GRC) as a foundational requirement for autonomous and agentic AI systems. It argues that periodic assessments and retrospective audits are insufficient for systems that continuously interpret goals, delegate authority, invoke tools, access re...
Data concepts relevant to AI applications in public health — such as availability, relevance, and representativeness — are usually explained in their general, basic sense for a broad readership of engineers and public health professionals alike, without being organized by what kind of practical failure each one represe...
The implementation of Artificial Intelligence (AI) algorithms in clinical decision support systems (CDSS) and biomedical diagnostics has already shown its impressive potential for positive patient impact. At the same time, there are several challenges that need to be addressed when it comes to the deployment of advance...
A full overview of AI-based DDI prediction, including information like, but not limited to, publicly available resources for AI-DDI study, approaches for data handling and feature preprocessing, explainable Artificial Intelligence (XAI) schemes that improve trust toward an approach based on other XAI methods that contr...
A cuscuton-clock sector coupled to matter disformally along the clock's own unit timelike direction gives a post-Newtonian gamma of exactly one with no added vector field. Boosted, the same coupling gives alpha_1 = 8 f_s, five orders over the bound unless local matter drags the clock into its own rest frame to within 4...
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Oct 12, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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